# A Gaussian Mixture Model Approach for Robust Watermark Text Detection in Documents

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-gaussian-mixture-model-approach-for-robust-watermark-text-detection-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Maheshwari S Hiremath,Basavanna Mahadevappa,Shivanand S. Gornale |
| Citations | 0 |
| DOI | 10.14738/tmlai.1305.19505 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://journals.scholarpublishing.org/index.php/TMLAI/article/download/19505/11568 |
| OpenAlex ID | https://openalex.org/W4415606253 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Basavanna Mahadevappa](https://scholariq.org/researchers/basavanna-mahadevappa/)

## Paper journal

- [Transactions on Engineering and Computing Sciences](https://scholariq.org/journals/transactions-on-engineering-and-computing-sciences/)

## Paper primary topic

- [Advanced Steganography and Watermarking Techniques](https://scholariq.org/topics/advanced-steganography-and-watermarking-techniques/)

## Paper topics

- [Advanced Steganography and Watermarking Techniques](https://scholariq.org/topics/advanced-steganography-and-watermarking-techniques/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.